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TrueToF™ Neural IP is a technology,that uses artificial intelligence (AI) to analyze Time-of-Flight (ToF) sensor data and extract AI feature of light on objects. providing information about the distance and physical attributes of the scene being captured while automatically labeling and analyzing physical attributes. The result is improved data output quality, precise and tracking of the three-dimensional position and shape of objects, and support for AI-based content generation.
TrueToF™ Neural IP has been adapted to various models such as ResNet, MobileNet, Stable Diffusion, VQGAN, and more, enabling chip-level hardware acceleration for AI-based applications. The company has conducted extensive model adaptation, algorithm optimization, and stability testing on various ToF chip types such as IToF, DToF,SPAD, SWIR, XToF, and UDToF.Our TrueToF™ technology enables big 5G markets including AR, mobile phone,filming, robotics and medical.
AI Application Scenario Innovation Award.
Outstanding startup award.
Outstanding technology award .
The modulated signal at different phase shifts.
A noise FPN and FPPN free accurate depth-ray
Depth-ray of translucent objects
Motion blur detection and Reduce depth-ray blurring
Use a convolutional Neural Networks to compute depth-ray
Calibrate 3D coordinates from distance data Lens
Realtime 3D modelling includes mapping and architectural design, while the most popular consumer uses will likely includes augmented reality , and simple navigation and control.
Realtime 3D modelling
Realtime 3D modelling with texture
Accurate measure
Realtime 3D dynamic modelling
High accurate proximity sensing, based on 3D coordinates of calculated features
3D gesture recognition
2D gesture recognition
Touch detection on a space
It offers a high enough resolution to identify gestures with a high level of details
3D object recognition
Alignment pose of a object in a scene
Segment a point cloud
Triangulation algorithm on a point cloud
Deep AI Features: Combining the physical characteristics of photons with the mechanism of ToF imaging, it obtains high-quality imaging data. Its imaging performance is characterized by improved accuracy and extended operating distance.Intelligent Power: the energy consumption of the Qualcomm Snapdragon DSP to complete the same 1000 inference tasks is only 1/98 of that of the CPU
It is responsible for automatically labeling scenes to improve the quality of output data and increase the efficiency of lightweight models,High-speed: With the same loss conditions, TrueToF® IP requires very few iterations (performance improvement of about 250 times).real-time neural network rendering: This provides real-time hardware acceleration for AIGC's mobile experience, reducing GPU occupation.
Comparing TrueToF® IP output with the original ToF output data, generating 10k test images in typical object recognition cases, using different level backbones for comparison. The ToF data that integrates AI Features of light characteristics can directly improve the accuracy of inference tasks. The performance test of classification inference for the backbones in the table is as follows:
Multi TrueToF™ is a FPGA platform for multiple ToF sensors working in parallel, which allows users to integrate and use sensors in an easy way. Multi TrueToF™ allows different sensor arrangements, enabling to capture high-resolution and multi－angle depth images.
BACK
Advanced 3D representations of the world are enabling more immersive forms of interaction and communication, and also allow machines to understand, interpret and navigate our world. point clouds have emerged as an enabling representation of such information. HKShiningCloud participates in ITU-T and MPEG standards for point clouds and immersive media, and our technologies and products are defined and designed in accordance with appropriate standards.
BACKAdapt to a variety of TrueToF™ modules and mobile solutions, providing instruction-level hardware acceleration.
Realtime hardware modeling based on mobile solution by signal TrueToF™
Color texture RGB sync during point cloud recording
Outward gesture interaction during modeling
Multi-degree of freedom 3D picture and video recording
Dimensions at mm-level precision extracted directly from the point cloud
ARM and X86 supported, cross-platform ToF instruction set
Lightweight fast TrueToF™ solution for ar glasses, enabling fast object modeling and 3D recognition, 3D gesture interaction, accurate space AR
AR Glasses external ToF vision solution supports modeling, recognition, AR and interaction
Color texture RGB sync during point cloud recording
Outward gesture interaction during the modeling process and AR interaction
Multi-degree of freedom 3D picture and video recording
Dimensions at mm-level precision extracted directly from the point cloud
ARM and X86 supported, cross-platform ToF instruction set
3D-DSLR based on TrueToF™ provides more accurate depth information, Delighting and relighting.
Image quality refers to the point cloud compression ratio used when images are saved, determines the physical cmose dimensions of the image.
Accurate depth information and relationships for accurate front and back blur
First shot, then focus, light field acquisition
Delighting and relighting for scene
Accurate reproduction of 3D space to correct distortion of auxiliary photo
3D-Filming based on TrueToF™ provides more accurate depth information, K frame rate per second video recording.
K frame rate per second 3D video recording.
Accurate depth information and relationships for accurate front and back blur
Delighting and relighting
Accurate reproduction of 3D space to correct distortion of auxiliary photo
Multi-ToF modules work in parallel to enhance the depth resolution
Hardware accelerate Including TrueToF™ instruction set and 3D chip.
Tracking monitoring goals start the point information trackers and start collecting interesting modeling details.
Point cloud monitoring evaluation in TrueToF™.The generated realtime reports can be filtered.
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